Track 3: Social Media (Linking People and Things)


Web 2.0 applications such as social networking platforms, wikis, blogs, and collaborative tools for tagging, voting, commenting, and rating have rapidly gained broad audiences. The reason for their success lies mainly in the fact that no specific skills are required from the participants. The social activity within these systems results in many types of links between people, documents, products, media, concepts, etc. The motivation and interaction patterns behind the usage of social media are of particular research interest. The objective of this track is to gain deeper insights into the world of social media by new ways of analysis and modeling. Research areas like Social Network Analysis, Data Mining, Information Retrieval, Complex Systems, Information Extraction, Natural Language Processing, Semantic Web, Library and Information Sciences, and Hypermedia Systems have been working for a while in this domain. In the HT 2011 track on Social Media, researchers from these and related areas are invited to further advance the state of the art.

Topics of Interest

Topics of interest include but are not limited to:

  • Analysis and modeling of network structure and dynamics
  • Discovering social structures and communities
  • Explicit vs. inferred social links (e.g. mining query logs)
  • Co-evolution of social, information, and semantic networks
  • Models of propagation and influence in web 2.0 systems
  • Models of expertise and trust in web 2.0 systems
  • Critical mass and incentives for social participation (e.g. games)
  • Web 2.0 technologies for recommender systems and personalization
  • Social search, information retrieval in the web 2.0
  • Detection and prediction of trends and user behaviour
  • Web 2.0 based ontology learning and analysis of emergent semantics
  • Linguistic analysis of social media
  • Mapping and visualization of social spaces and networks
  • Discovery and prevention of spam, fraud, misuse and other forms of social abuse
  • Privacy challenges
  • Mobile communities
  • Applications of any of the above methods and technologies

We also encourage submissions which relate research results from other areas to the topics of the track.

Track Chairs

Andreas Hotho University of Würzburg (DE)
Gerd Stumme University of Kassel (DE)
, Graz University of Technology (AT)

Senior Program Committee

Lee Giles, PSU
Bernardo Huberman, HP Labs
Raghu Ramakrishnan, Yahoo! Research
Frank Smadja, Toluna (FR)
Steffen Staab, University of Koblenz-Landau (DE)

Program Committee

Alain Barrat, CNRS (FR)
Alvin Chin, Nokia Research Center, Beijing (CN)
Ansgar Scherp, Koblenz University (DE)
Beate Krause, University of Kassel (DE)
Bing Liu, UIC (USA)
Ciro Cattuto, ISI Foundation (IT)
Claudia Müller, FU Berlin (DE)
Claudia Wagner, Graz University of Technology (AT)
Daniel Gayo-Avello, University of Oviedo (ES)
David Millen, IBM
David Gleich, Sandia National Labs - Livermore (USA)
Denis Helic, TU Graz (AT)
Dominik Benz, University of Kassel (DE)
Ed Chi, PARC (USA)
Evangelos Milios, Dalhousie University (CA)
Geert-Jan Houben, TU Delft (NL)
Harith Alani, University of Southampton (UK)
Jeannette Janssen, Dalhousie University
John Breslin, DERI, NUI Galway (IE)
Marc Smith, ConnectedAction (USA)
Marti Hearst, UC Berkeley (USA)
Massimo Marchiori, University of Padova (IT)
Mathias Lux, University of Klagenfurt (AT)
Meeyoung Cha, KAIST (KR)
Munmun De Choudhury, Arizona State University (US)
Nikki Kittur, Carnegie Mellon University (USA)
Paolo Massa, Fondazione Bruno Kessler
Pranam Kolari, Yahoo! Research (USA)
Renaud Lambiotte, Imperial College London (UK)
Robert Jäschke, University of Kassel (DE)
Roelof van Zwol, Yahoo! Research Barcelona (ES)
Scott Golder, Cornell University (USA)
Shannon Bradshaw, Drew University (USA)
Stephan Bloehdorn, University of Karlsruhe (DE)
Thomas Kannampallil, University of Texas (USA)
Vito Servedio, Sapienza University of Rome (IT)
Wai-Tat Fu, University of Illinois at Urbana-Champaign (USA)